{"list":"other","total":76,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17608},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1506.01497","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","created":"2015-06-04","cited_by_count":9639},{"id":"2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","created":"2023-04-14","cited_by_count":7974},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1512.02325","title":"SSD: Single Shot MultiBox Detector","created":"2015-12-08","cited_by_count":3130},{"id":"1908.07919","title":"Deep High-Resolution Representation Learning for Visual Recognition","created":"2019-08-20","cited_by_count":1420},{"id":"1902.09212","title":"Deep High-Resolution Representation Learning for Human Pose Estimation","created":"2019-02-25","cited_by_count":1339},{"id":"1611.08050","title":"Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields","created":"2016-11-24","cited_by_count":1064},{"id":"1704.00675","title":"The 2017 DAVIS Challenge on Video Object Segmentation","created":"2017-04-03","cited_by_count":957},{"id":"1603.06937","title":"Stacked Hourglass Networks for Human Pose Estimation","created":"2016-03-22","cited_by_count":915},{"id":"1802.00434","title":"DensePose: Dense Human Pose Estimation In The Wild","created":"2018-02-01","cited_by_count":575},{"id":"1811.11742","title":"3D human pose estimation in video with temporal convolutions and semi-supervised training","created":"2018-11-28","cited_by_count":403},{"id":"1803.07549","title":"Learning Category-Specific Mesh Reconstruction from Image Collections","created":"2018-03-20","cited_by_count":317},{"id":"1611.07700","title":"3D Menagerie: Modeling the 3D shape and pose of animals","created":"2016-11-23","cited_by_count":312},{"id":"1908.10357","title":"HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation","created":"2019-08-27","cited_by_count":247},{"id":"2012.13392","title":"Deep Learning-Based Human Pose Estimation: A Survey","created":"2020-12-24","cited_by_count":207},{"id":"1804.03142","title":"Markerless tracking of user-defined features with deep learning","created":"2018-04-09","cited_by_count":206},{"id":"2112.12761","title":"BANMo: Building Animatable 3D Neural Models from Many Casual Videos","created":"2021-12-23","cited_by_count":197},{"id":"2012.14214","title":"TransPose: Keypoint Localization via Transformer","created":"2020-12-28","cited_by_count":126},{"id":"2108.12617","title":"AP-10K: A Benchmark for Animal Pose Estimation in the Wild","created":"2021-08-28","cited_by_count":123},{"id":"2406.09905","title":"Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild","created":"2024-06-14","cited_by_count":114},{"id":"2211.12497","title":"MagicPony: Learning Articulated 3D Animals in the Wild","created":"2022-11-22","cited_by_count":112},{"id":"1908.05806","title":"Cross-Domain Adaptation for Animal Pose Estimation","created":"2019-08-16","cited_by_count":108},{"id":"2112.00933","title":"PartImageNet: A Large, High-Quality Dataset of Parts","created":"2021-12-02","cited_by_count":107},{"id":"1908.07201","title":"Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images \"In the Wild\"","created":"2019-08-20","cited_by_count":106},{"id":"2204.08129","title":"Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding","created":"2022-04-18","cited_by_count":103},{"id":"1605.03170","title":"DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model","created":"2016-05-10","cited_by_count":96},{"id":"2007.10982","title":"Shape and Viewpoint without Keypoints","created":"2020-07-21","cited_by_count":92},{"id":"2104.06403","title":"Lite-HRNet: A Lightweight High-Resolution Network","created":"2021-04-13","cited_by_count":91},{"id":"1811.05804","title":"Creatures great and SMAL: Recovering the shape and motion of animals from video","created":"2018-11-14","cited_by_count":84},{"id":"2007.11110","title":"Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop","created":"2020-07-21","cited_by_count":81},{"id":"1406.5549","title":"Fast Edge Detection Using Structured Forests","created":"2014-06-20","cited_by_count":65},{"id":"1912.08265","title":"Learning from Synthetic Animals","created":"2019-12-17","cited_by_count":65},{"id":"2107.10844","title":"DOVE: Learning Deformable 3D Objects by Watching Videos","created":"2021-07-22","cited_by_count":61},{"id":"1911.09592","title":"mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs","created":"2019-11-21","cited_by_count":59},{"id":"2401.02400","title":"Learning the 3D Fauna of the Web","created":"2024-01-04","cited_by_count":59},{"id":"2203.15536","title":"BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information","created":"2022-03-29","cited_by_count":51},{"id":"2103.14843","title":"From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation","created":"2021-03-27","cited_by_count":48},{"id":"1909.11229","title":"Pretraining boosts out-of-domain robustness for pose estimation","created":"2019-09-24","cited_by_count":47},{"id":"2308.11737","title":"Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape","created":"2023-08-22","cited_by_count":44},{"id":"2112.12141","title":"Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving","created":"2021-12-22","cited_by_count":40},{"id":"2203.07436","title":"SuperAnimal pretrained pose estimation models for behavioral analysis","created":"2022-03-14","cited_by_count":39},{"id":"2304.10535","title":"Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion","created":"2023-04-20","cited_by_count":38},{"id":"2004.07788","title":"RGBD-Dog: Predicting Canine Pose from RGBD Sensors","created":"2020-04-16","cited_by_count":35},{"id":"1908.05293","title":"Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation","created":"2019-08-14","cited_by_count":31},{"id":"2103.13282","title":"AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild","created":"2021-03-24","cited_by_count":30},{"id":"2105.09396","title":"Birds of a Feather: Capturing Avian Shape Models from Images","created":"2021-05-19","cited_by_count":30},{"id":"2403.15064","title":"Recent Trends in 3D Reconstruction of General Non-Rigid Scenes","created":"2024-03-22","cited_by_count":28},{"id":"2112.06183","title":"Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species","created":"2021-12-12","cited_by_count":27},{"id":"2303.17948","title":"CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions","created":"2023-03-31","cited_by_count":27},{"id":"2206.11752","title":"CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose","created":"2022-06-23","cited_by_count":25},{"id":"2310.16447","title":"ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors","created":"2023-10-25","cited_by_count":24},{"id":"2003.00080","title":"Transferring Dense Pose to Proximal Animal Classes","created":"2020-02-28","cited_by_count":23},{"id":"2212.07729","title":"HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving","created":"2022-12-15","cited_by_count":22},{"id":"2204.00172","title":"A Unified Framework for Domain Adaptive Pose Estimation","created":"2022-04-01","cited_by_count":20},{"id":"2010.08221","title":"HPERL: 3D Human Pose Estimation from RGB and LiDAR","created":"2020-10-16","cited_by_count":19},{"id":"2303.13174","title":"3D-POP -- An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture","created":"2023-03-23","cited_by_count":18},{"id":"2111.08176","title":"Coarse-to-fine Animal Pose and Shape Estimation","created":"2021-11-16","cited_by_count":16},{"id":"2104.08029","title":"T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information","created":"2021-04-16","cited_by_count":15},{"id":"1912.04071","title":"DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image","created":"2019-12-09","cited_by_count":14},{"id":"2001.08601","title":"Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals","created":"2020-01-23","cited_by_count":14},{"id":"1411.7883","title":"Articulated motion discovery using pairs of trajectories","created":"2014-11-28","cited_by_count":13},{"id":"1704.04023","title":"Interspecies Knowledge Transfer for Facial Keypoint Detection","created":"2017-04-13","cited_by_count":13},{"id":"2303.15023","title":"ScarceNet: Animal Pose Estimation with Scarce Annotations","created":"2023-03-27","cited_by_count":13},{"id":"2404.03042","title":"AWOL: Analysis WithOut synthesis using Language","created":"2024-04-03","cited_by_count":12},{"id":"2212.00741","title":"OpenApePose: a database of annotated ape photographs for pose estimation","created":"2022-11-30","cited_by_count":10},{"id":"1906.01399","title":"Semi- and Weakly-supervised Human Pose Estimation","created":"2019-06-04","cited_by_count":8},{"id":"1811.11251","title":"Multiview Supervision By Registration","created":"2018-11-27","cited_by_count":7},{"id":"1909.08950","title":"Count, Crop and Recognise: Fine-Grained Recognition in the Wild","created":"2019-09-19","cited_by_count":7},{"id":"1511.09319","title":"Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video","created":"2015-11-30","cited_by_count":5},{"id":"2304.14396","title":"Learning Articulated Shape with Keypoint Pseudo-labels from Web Images","created":"2023-04-27","cited_by_count":5},{"id":"2204.07072","title":"SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework","created":"2022-04-14","cited_by_count":2},{"id":"2308.03411","title":"A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior","created":"2023-08-07","cited_by_count":2},{"id":"2407.01244","title":"CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation","created":"2024-07-01","cited_by_count":1}],"next_cursor":null}