mlsanityData to 14 Oct 2026

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

arXiv 1612.01051 ↗First posted 4 Dec 2016cs.CVcited by 55

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Abstract (arXiv)

Object detection is a crucial task for autonomous driving. In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires real-time inference speed to guarantee prompt vehicle control, as well as small model size and energy efficiency to enable embedded system deployment. In this work, we propose SqueezeDet, a fully convolutional neural network for object detection that aims to simultaneously satisfy all of the above constraints. In our network, we use convolutional layers not only to extract feature maps but also as the output layer to compute bounding boxes and class probabilities. The detection pipeline of our model only contains a single forward pass of a neural network, thus it is extremely fast. Our model is fully-convolutional, which leads to a small model size and better energy efficiency. While achieving the same accuracy as previous baselines, our model is 30.4x smaller, 19.7x faster, and consumes 35.2x lower energy. The code is open-sourced at urlhttps://github.com/BichenWuUCB/squeezeDet.

Key facts. Cited by 55 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Dec 2016.

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Citing papers per year: 2021: 16; 2022: 13; 2023: 12; 2024: 10; 2025: 3; 2026: 1.

55 papers.

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  1. 2022Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cutcited by 167
  2. 2022TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cutcited by 113
  3. 2024Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agentscited by 91
  4. 2021Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregationscited by 51
  5. 2022Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarioscited by 20
  6. 2024LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Visioncited by 15
  7. 2023A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Servicescited by 14
  8. 2025Object Detection with Multimodal Large Vision-Language Models: An In-depth Reviewcited by 14
  9. 2021YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUscited by 12
  10. 2021YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclescited by 12
  11. 2022On Label Granularity and Object Localizationcited by 12
  12. 2023Projected Randomized Smoothing for Certified Adversarial Robustnesscited by 11
38 more
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  2. 2023Delay-Aware Hierarchical Federated Learningcited by 9
  3. 2023Asymmetric Certified Robustness via Feature-Convex Neural Networkscited by 8
  4. 2021Compacting Deep Neural Networks for Internet of Things: Methods and Applicationscited by 6
  5. 2023Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoTcited by 6
  6. 2023PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensorscited by 6
  7. 2022Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logiccited by 5
  8. 2022DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attentioncited by 5
  9. 2024Comprehensive Performance Evaluation of YOLOv12, YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environmentscited by 5
  10. 2021AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devicescited by 3
  11. 2022Tailored Uncertainty Estimation for Deep Learning Systemscited by 3
  12. 2024Masked Multi-Query Slot Attention for Unsupervised Object Discoverycited by 3
  13. 2021Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certificationcited by 2
  14. 2022FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representationcited by 2
  15. 2023Sector Patch Embedding: An Embedding Module Conforming to The Distortion Pattern of Fisheye Imagecited by 2
  16. 2023Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Offcited by 2
  17. 2024Bangladeshi Native Vehicle Detection in Wildcited by 2
  18. 2021Approaching Neural Network Uncertainty Realismcited by 1
  19. 2021Exploring Structure Consistency for Deep Model Watermarkingcited by 1
  20. 2021DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencodercited by 1
  21. 2022PrivPAS: A real time Privacy-Preserving AI System and applied ethicscited by 1
  22. 2022Applied monocular reconstruction of parametric faces with domain engineeringcited by 1
  23. 2022Object Detection for Autonomous Dozerscited by 1
  24. 2023Boosting Verified Training for Robust Image Classifications via Abstractioncited by 1
  25. 2023ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processingcited by 1
  26. 2023Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisonscited by 1
  27. 2024NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learningcited by 1
  28. 2024From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectorscited by 1
  29. 2021Metalearning: Sparse Variable-Structure Automatacited by 0
  30. 2021Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regressioncited by 0
  31. 2021TagMe: GPS-Assisted Automatic Object Annotation in Videoscited by 0
  32. 2021ScreenSeg: On-Device Screenshot Layout Analysiscited by 0
  33. 2021Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systemscited by 0
  34. 2021ConformalLayers: A non-linear sequential neural network with associative layerscited by 0
  35. 2022A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networkscited by 0
  36. 2022Domain Engineering for Applied Monocular Reconstruction of Parametric Facescited by 0
  37. 2023Research on road object detection algorithm based on improved YOLOXcited by 0
  38. 2024Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edgecited by 0

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