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 581–590 of 1149 papers

TitleStatusHype
BERT for Large-scale Video Segment Classification with Test-time Augmentation—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
Beyond still images: Temporal features and input variance resilience—0
Beyond the Camera: Neural Networks in World Coordinates—0
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes—0
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding?—0
Breaking the Encoder Barrier for Seamless Video-Language Understanding—0
Bridging Audio and Vision: Zero-Shot Audiovisual Segmentation by Connecting Pretrained Models—0
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