1020154KazumaSato

1020154KazumaSato's Stars

• shoyamasuzukilab/Video-Tag-Chat

  Language:Python1

• DAMO-NLP-SG/Video-LLaMA

  [EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

  Language:Python2.6k237

• yukw777/VideoBLIP

  Supercharged BLIP-2 that can handle videos

  Language:Python1086

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.2k369

• microsoft/X-Decoder

  [CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

  Language:Python1.3k126

• MaureenZOU/detectron2-xyz

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python166

• Hedlen/awesome-segment-anything

  Tracking and collecting papers/projects/others related to Segment Anything.

  1.5k127

• UX-Decoder/X-Decoder

  [CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

  132

• vision4robotics/SAM-DA

  This is the official code for the paper "SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation".

  Language:Jupyter Notebook4810

• z-x-yang/Segment-and-Track-Anything

  An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

  Language:Jupyter Notebook2.7k324

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook45.8k5.4k