lingjiao10

lingjiao10's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.9k3264053.4k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python11k454221.6k

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python10.1k1855621.1k

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.5k1001.2k1.4k

• xingyizhou/CenterNet

  Object detection, 3D detection, and pose estimation using center point detection:

  Language:Python7.3k1131k1.9k

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python6k893.1k1.1k

• amdegroot/ssd.pytorch

  A PyTorch Implementation of Single Shot MultiBox Detector

  Language:Python5.2k865451.7k

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k562481.1k

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.9k13349578

• sfzhang15/ATSS

  Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

  Language:Python1.1k24103163

• DWCTOD/CVPR2023-Papers-with-Code-Demo

  收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

  1.1k2420136

• visipedia/inat_comp

  iNaturalist competition details

  Language:Python7422327110

• yaoyao-liu/class-incremental-learning

  PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

  Language:Python463134671

• akshitac8/OW-DETR

  [CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer

  Language:Python23966339

• xpwu95/IP102

  IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

  2189050

• whwu95/Text4Vis

  【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

  Language:Python20472315

• ZongxianLee/MMD_Loss.Pytorch

  A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

  Language:Python1990467

• tahmid0007/VisualTransformers

  A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision"

  Language:Python18341229

• AIZOOTech/object-detection-anchors

  Tips on how to find suitable object detection anchors

  Language:Python1444049

• Megvii-BaseDetection/AutoAssign

  Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"

  Language:Python1408718

• wenguanwang/DHF1K

  Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

  Language:MATLAB140112028

• JosephKJ/iOD

  (TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning

  Language:Python12342022

• vlomonaco/core50

  CORe50: a new Dataset and Benchmark for Continual Learning

  Language:Python1207626

• LucasFidon/GeneralizedWassersteinDiceLoss

  Official implementation of the Generalized Wasserstein Dice Loss in PyTorch

  Language:Python81328

• CanPeng123/Faster-ILOD

  Language:Python491107

• fcdl94/MMA

  Modeling Missing Annotations for Incremental Learning in Object Detection

  Language:Python29322

• mpatacchiola/contextual-squeeze-and-excitation

  Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)

  Language:Python24421

• visipedia/inat_loc

  The iNaturalist Localization Dataset from "On Label Granularity and Object Localization" (ECCV 2022).

  14622

• chenxy99/DID

  Official code for the paper "DID: Disentangling-Imprinting-Distilling for Continuous Low-Shot Detection"

  Language:Python2102

• WhiteSharkBrother/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python1