sunyiyou

NetDissect-Lite

Light version of Network Dissection for Quantifying Interpretability of Networks

dice

Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"

knn-ood

Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"

NSCL

Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"

opencon

Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"

react

Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"

dice-neurips2022

Code for "On the Effectiveness of Sparsification for Detecting the Deep Unknowns"

dynamic-k-activation

Code for ICCV 2019 paper "Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks"

SAFAS

Code for CVPR 2023 paper "Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment"

vanishing-point

implement the method to find the vanishing point on the road

sunyiyou/SAFAS

Code for CVPR 2023 paper "Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment"

sunyiyou/dynamic-k-activation

Code for ICCV 2019 paper "Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks"

sunyiyou/vanishing-point

implement the method to find the vanishing point on the road

sunyiyou/dice-neurips2022

Code for "On the Effectiveness of Sparsification for Detecting the Deep Unknowns"

sunyiyou/large_scale_ood

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

sunyiyou/OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

sunyiyou/pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

sunyiyou/Synchronized-BatchNorm-PyTorch

Synchronized Batch Normalization implementation in PyTorch.

sunyiyou/ylib

personal tool for python

sunyiyou/Awesome-LLM-RAG

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

sunyiyou/Awesome-Novel-Class-Discovery

A list of papers that studies Novel Class Discovery

sunyiyou/awesome-semantic-search

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

sunyiyou/caffe

Caffe: a fast open framework for deep learning.

sunyiyou/captionGen

Generate captions for an image using PyTorch

sunyiyou/coco

MS COCO API - http://mscoco.org/

sunyiyou/cutorch

A CUDA backend for Torch7

sunyiyou/HackPKU

Let us work now!

sunyiyou/intel-iot-services-orchestration-layer

sunyiyou/leetcode

Begin to work on Leetcode

sunyiyou/NetDissect-Lite-dka

Light version of Network Dissection for Quantifying Interpretability of Networks

sunyiyou/neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

sunyiyou/prog_gans_pytorch_inference

PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot

sunyiyou/py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

sunyiyou/Quiclub

sunyiyou/rcnn

R-CNN: Regions with Convolutional Neural Network Features

sunyiyou/routenet

sunyiyou/semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

sunyiyou/sunyiyou

sunyiyou/supspec

sunyiyou/train_module

A simple training module to train ResNet-18 on CIFAR