SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 426–450 of 1149 papers

TitleStatusHype
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation—0
BERT for Large-scale Video Segment Classification with Test-time Augmentation—0
AMEGO: Active Memory from long EGOcentric videos—0
Domain Adaptation of VLM for Soccer Video Understanding—0
Actor-Action Semantic Segmentation with Grouping Process Models—0
BEARCUBS: A benchmark for computer-using web agents—0
DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering—0
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling—0
DOAD: Decoupled One Stage Action Detection Network—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
ALLVB: All-in-One Long Video Understanding Benchmark—0
Learning reusable concepts across different egocentric video understanding tasks—0
Learning Space-Time Semantic Correspondences—0
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation—0
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model—0
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition—0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output—0
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning—0
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection—0
Instrument-tissue Interaction Detection Framework for Surgical Video Understanding—0
InstructionBench: An Instructional Video Understanding Benchmark—0
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