uestcwcw's Projects
two view structure from motion
Official Implementation of AlignMixup - CVPR 2022
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
๐๐๐ A collection of some awesome public YOLO object detection series projects.
Class Activation Mapping
Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
[ICCV 2021] Official PyTorch implementation for Deep Relational Metric Learning.
[ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"
A MNIST-like fashion product database. Benchmark :point_right:
[NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
[NeurIPS 2022] Official code for "Focal Modulation Networks"
code for [ECCV 2022 paper] Contributions of Shape, Texture, and Color in Visual Recognition
accepted at ICCV 2021
Pytorch implementation of Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization https://arxiv.org/abs/2008.11646
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Code for reproducing Manifold Mixup results (ICML 2019)
This repo contains the official implementation of ICLR 2022 paper "It Takes Two to Tango: Mixup for Deep Metric Learning".
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
[ECCV 2022] MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes official implementation
[ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization. ๐ PyTorch open-source toolbox for image-based localization (place recognition).
Pythonๆฐๆฎๅๆๅฎๆ้กน็ฎๆฑๆป~
Datasets: road-scene-infrared-visible-images, for feature matching, image registration, and image fusion
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.
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
2.86% and 15.85% on CIFAR-10 and CIFAR-100