yanqingyao1994

yanqingyao1994's Stars

• shaunyuan22/CFINet

  The official implementation for ICCV'23 paper "Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning"

  Language:Python1256

• UX-Decoder/Semantic-SAM

  [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

  Language:Python2.2k107

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.3k681

• DiT-3D/FastDiT-3D

  Language:JavaScript13

• CircleRadon/Osprey

  [CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"

  Language:Python74042

• yuhongtian17/Spatial-Transform-Decoupling

  Language:Python727

• hehaodong530/DOTA-C

  Language:Python212

• ZhanYang-nwpu/RSVG-pytorch

  RSVG: Exploring Data and Model for Visual Grounding on Remote Sensing Data, 2022

  Language:Python1044

• TongkunGuan/SIGA

  [CVPR2023] Self-supervised Implicit Glyph Attention for Text Recognition

  Language:Python1053

• alanzty/KCR-Official

  This is official implementation of KCR.

  Language:Python181

• TongkunGuan/Text-Related-Papers

  Update the latest text-related papers from top conferences

  182

• wangkai930418/awesome-diffusion-categorized

  collection of diffusion model papers categorized by their subareas

  1.1k50

• jw9730/ori-giou

  GIoU for rotated bounding boxes, vectorized and differentiable

  Language:Python364

• 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 Notebook46.4k5.5k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook14.6k1.4k

• chunbolang/DCP

  Official PyTorch Implementation of Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation (IJCAI'22 Long Oral & IJCV'23).

  Language:Python292

• chunbolang/HPA

  Official PyTorch Implementation of Holistic Prototype Activation for Few-Shot Segmentation (TPAMI'22).

  Language:Python213

• chunbolang/BAM

  Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR'22 Oral & TPAMI'23).

  Language:Python24442

• shaunyuan22/SODA

  Official code library for SODA: A Large-scale Benchmark for Small Object Detection.

  951