Qian-nian

Qian-nian's Stars

• G-U-N/PyCIL

  PyCIL: A Python Toolbox for Class-Incremental Learning

  Language:Python735127

• jacobgil/pytorch-grad-cam

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

  Language:Python9.8k1.5k

• lijx10/DeepI2P

  DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

  Language:C++20135

• junshengzhou/VP2P-Match

  [NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

  Language:Python629

• yvsriram/FACTS

  Language:Python91

• cxy293/Camera-YOLOX

  YOLOX project that can range distance with binocular camera

  Language:Python161

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4k621

• amirbar/DETReg

  Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

  Language:Python33446

• rsy6318/CorrI2P

  [TCSVT] CorrI2P: Deep Image-to-Point Cloud Registration via Dense CorrespondenceThe code of CorrI2P

  Language:Python578

• visresearch/patchmix

  The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"

  Language:Python1008

• BlackFeatherQQ/FaceRecognition

  Using pytorch: yolov5+facenet+svm

  Language:Python5419

• smartadpole/EAI-Stereo

  327

• Vision-Intelligence-and-Robots-Group/Awesome-Segment-Anything

  A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.

  29230

• MediaBrain-SJTU/RegAD

  [ECCV2022 Oral] Registration based Few-Shot Anomaly Detection

  Language:Python25340

• 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 Notebook45.4k5.4k

• zhenyuw16/UniDetector

  Code release for our CVPR 2023 paper "Detecting Everything in the Open World: Towards Universal Object Detection".

  Language:Python51224

• GMvandeVen/continual-learning

  PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

  Language:Jupyter Notebook1.5k305

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.6k555

• kangyuzhe666/yolov3_cam_frm

  yolov3基础上添加cam与frm模块参考context_augmentation_and_featu

  Language:Python222

• jiasenlu/AdaptiveAttention

  Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

  Language:Jupyter Notebook33374

• cv516Buaa/tph-yolov5

  Language:Python703171

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.1k2.4k

• Davidham3/STSGCN

  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

  Language:Python31998

• happinesslz/EPNet

  EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020)

  Language:Python22937

• Vegeta2020/SE-SSD

  SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

  Language:Python809128

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.5k1.3k

• yezhen17/3DIoUMatch

  [CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.

  Language:Python14915

• YunYang1994/tensorflow-yolov3

  🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

  Language:Python3.6k1.4k

• Hanawh/Atlas_200DK_yolov3_v5_python

  Language:Python134

• facebookresearch/votenet

  Deep Hough Voting for 3D Object Detection in Point Clouds

  Language:Python1.7k377