XueZ-phd

XueZ-phd's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python49.3k3689.2k16k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python28.9k3718.3k9.4k

• ultralytics/ultralytics

  NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

  Language:Python27.6k1548.4k5.5k

• HumanSignal/labelImg

  LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

  Language:Python22.4k4027676.2k

• 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 Notebook14.6k1143821.3k

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.1k1561.8k3.4k

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.1k37292636

• pengsida/learning_research

  本人的科研经验

  5.2k6328321

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.1k631.6k1.5k

• open-mmlab/mmtracking

  OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

  Language:Python3.5k48461586

• CVHub520/X-AnyLabeling

  Effortless data labeling with AI support from Segment Anything and other awesome models.

  Language:Python3.4k30563386

• visionml/pytracking

  Visual tracking library based on PyTorch.

  Language:Python3.2k83406602

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k3341392

• ytongbai/LVM

  Language:Python1.7k1232053

• bermanmaxim/LovaszSoftmax

  Code for the Lovász-Softmax loss (CVPR 2018)

  Language:Jupyter Notebook1.4k3234269

• LTH14/rcg

  PyTorch implementation of RCG https://arxiv.org/abs/2312.03701

  Language:Python78473336

• megvii-research/mdistiller

  The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

  Language:Python776865118

• dbolya/tide

  A General Toolbox for Identifying Object Detection Errors

  Language:Python7021748115

• bupt-ai-cz/LLVIP

  LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

  Language:Jupyter Notebook615233864

• INVOKERer/DeepRFT

  The code for 'Intriguing Findings of Frequency Selection for Image Deblurring' and 'Deep Residual Fourier Transformation for Single Image Deblurring'

  Language:Python22956031

• CalayZhou/Multispectral-Pedestrian-Detection-Resource

  A list of resouces for multispectral pedestrian detection,including the datasets, methods, annotations and tools.

  184101130

• JinyuanLiu-CV/TarDAL

  CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

  Language:Python1843044

• JialeCao001/PedSurvey

  From Handcrafted to Deep Features for Pedestrian Detection: A Survey (TPAMI 2021)

  16813128

• FanglinBao/HADAR

  This is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. One can also develop algorithms about object detection, semantic or scene segmentation, optical or scene flow, stereo depth etc. based on TeX vision instead of traditional RGB or thermal vision.

  Language:Python16452526

• yh-pengtu/FemtoDet

  Official codes of ICCV2023 paper: <<FemtoDet: an object detection baseline for energy versus performance tradeoffs>>

  Language:Python628165

• sejong-rcv/MLPD-Multi-Label-Pedestrian-Detection

  [RA-L with IROS2021] Multi-Label Pedestrian Detection in Multispectral data

  Language:Python53121813

• XueZ-phd/FocusNet-Classifying-better-by-focusing-on-confusing-classes

  The PyTorch implementation of our Pattern Recognition 2022 paper, FocusNet, on ILSVRC2012

  44000

• XueZ-phd/TFDet

  This is an official repository of our TFDet.

  Language:Jupyter Notebook22142

• lustrouselixir/FGDNet

  Frequency-Domain Deep Guided Image Denoising

  Language:Python9141

• XueZ-phd/siamese-triplet

  Siamese and triplet networks with online pair/triplet mining in PyTorch

  Language:Python0000