{"list":"other","total":59,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"2304.08485","title":"Visual Instruction Tuning","created":"2023-04-17","cited_by_count":7869},{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"2301.12597","title":"BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models","created":"2023-01-30","cited_by_count":6137},{"id":"2204.14198","title":"Flamingo: a Visual Language Model for Few-Shot Learning","created":"2022-04-29","cited_by_count":4386},{"id":"2201.12086","title":"BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation","created":"2022-01-28","cited_by_count":4322},{"id":"1910.01108","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","created":"2019-10-02","cited_by_count":4307},{"id":"2102.12092","title":"Zero-Shot Text-to-Image Generation","created":"2021-02-24","cited_by_count":4288},{"id":"2409.12191","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","created":"2024-09-18","cited_by_count":4234},{"id":"2303.15343","title":"Sigmoid Loss for Language Image Pre-Training","created":"2023-03-27","cited_by_count":3109},{"id":"2305.06500","title":"InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning","created":"2023-05-11","cited_by_count":2876},{"id":"2006.03654","title":"DeBERTa: Decoding-enhanced BERT with Disentangled Attention","created":"2020-06-05","cited_by_count":2181},{"id":"2203.05482","title":"Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time","created":"2022-03-10","cited_by_count":1396},{"id":"2102.03334","title":"ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision","created":"2021-02-05","cited_by_count":1230},{"id":"1906.02691","title":"An Introduction to Variational Autoencoders","created":"2019-06-06","cited_by_count":1000},{"id":"1411.4555","title":"Show and Tell: A Neural Image Caption Generator","created":"2014-11-17","cited_by_count":879},{"id":"2112.04482","title":"FLAVA: A Foundational Language And Vision Alignment Model","created":"2021-12-08","cited_by_count":649},{"id":"2110.02178","title":"MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer","created":"2021-10-05","cited_by_count":642},{"id":"2012.09838","title":"Transformer Interpretability Beyond Attention Visualization","created":"2020-12-17","cited_by_count":627},{"id":"1809.00888","title":"MesoNet: a Compact Facial Video Forgery Detection Network","created":"2018-09-04","cited_by_count":409},{"id":"2003.01826","title":"Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions","created":"2020-03-03","cited_by_count":280},{"id":"2002.00133","title":"Global Texture Enhancement for Fake Face Detection in the Wild","created":"2020-02-01","cited_by_count":220},{"id":"1812.11842","title":"Do GANs leave artificial fingerprints?","created":"2018-12-31","cited_by_count":190},{"id":"1911.06465","title":"Fourier Spectrum Discrepancies in Deep Network Generated Images","created":"2019-11-15","cited_by_count":139},{"id":"1903.06836","title":"Detecting GAN generated Fake Images using Co-occurrence Matrices","created":"2019-03-15","cited_by_count":124},{"id":"2311.12397","title":"PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection","created":"2023-11-21","cited_by_count":122},{"id":"2010.03743","title":"Visual News: Benchmark and Challenges in News Image Captioning","created":"2020-10-08","cited_by_count":121},{"id":"2111.06091","title":"A Survey of Visual Transformers","created":"2021-11-11","cited_by_count":117},{"id":"2304.02556","title":"Detecting and Grounding Multi-Modal Media Manipulation","created":"2023-04-05","cited_by_count":99},{"id":"2203.01318","title":"Protecting Celebrities from DeepFake with Identity Consistency Transformer","created":"2022-03-02","cited_by_count":95},{"id":"1812.08247","title":"Detecting GAN-generated Imagery using Color Cues","created":"2018-12-19","cited_by_count":76},{"id":"2403.03170","title":"SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection","created":"2024-03-05","cited_by_count":74},{"id":"2210.12752","title":"UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection","created":"2022-10-23","cited_by_count":69},{"id":"2403.14077","title":"Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics","created":"2024-03-21","cited_by_count":69},{"id":"2406.08772","title":"MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs","created":"2024-06-13","cited_by_count":61},{"id":"2309.14203","title":"Detecting and Grounding Multi-Modal Media Manipulation and Beyond","created":"2023-09-25","cited_by_count":56},{"id":"1904.13355","title":"The Role of User Profile for Fake News Detection","created":"2019-04-30","cited_by_count":41},{"id":"2304.14133","title":"VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias","created":"2023-04-27","cited_by_count":39},{"id":"2403.01988","title":"FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs","created":"2024-03-04","cited_by_count":38},{"id":"2311.10242","title":"Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers","created":"2023-11-17","cited_by_count":36},{"id":"2207.13744","title":"Lighting (In)consistency of Paint by Text","created":"2022-07-27","cited_by_count":35},{"id":"2206.14617","title":"Perspective (In)consistency of Paint by Text","created":"2022-06-27","cited_by_count":34},{"id":"2302.14057","title":"Cross-modal Contrastive Learning for Multimodal Fake News Detection","created":"2023-02-25","cited_by_count":23},{"id":"2407.14321","title":"Multimodal Misinformation Detection using Large Vision-Language Models","created":"2024-07-19","cited_by_count":21},{"id":"2209.05299","title":"Deep Convolutional Pooling Transformer for Deepfake Detection","created":"2022-09-12","cited_by_count":19},{"id":"2312.00935","title":"Understanding Unimodal Bias in Multimodal Deep Linear Networks","created":"2023-12-01","cited_by_count":19},{"id":"2208.06551","title":"Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning","created":"2022-08-13","cited_by_count":18},{"id":"2410.04616","title":"Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?","created":"2024-10-06","cited_by_count":17},{"id":"2309.09667","title":"Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal Manipulation","created":"2023-09-18","cited_by_count":14},{"id":"2403.12838","title":"How Spammers and Scammers Leverage AI-Generated Images on Facebook for Audience Growth","created":"2024-03-19","cited_by_count":11},{"id":"2402.14834","title":"MSynFD: Multi-hop Syntax aware Fake News Detection","created":"2024-02-18","cited_by_count":10},{"id":"2509.04448","title":"TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection","created":"2025-09-04","cited_by_count":10},{"id":"2403.12481","title":"TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformer","created":"2024-03-19","cited_by_count":3},{"id":"2204.04793","title":"Fake news detection using parallel BERT deep neural networks","created":"2022-04-10","cited_by_count":1}],"next_cursor":null}