ITBeyond1230

ARTNet

Appearance-and-Relation Networks

attention

some attention implements

beyond-part-models

PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch

beyond.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

Bottom-up-Clustering-Person-Re-identification

A Bottom-Up Clustering Approach to Unsupervised Person Re-identification, AAAI 2019 (Oral)

coco-caption

cosine_metric_learning

Deep Cosine Metric Learning for Person Re-identification

deep-person-reid

Pytorch implementation of deep person re-identification models.

densecap

Dense image captioning in Torch

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

FewShotWithoutForgetting

hat

Overcoming catastrophic forgetting with hard attention to the task

LGM-Net

Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning

low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

luminoth

Deep Learning toolkit for Computer Vision

models

Models and examples built with TensorFlow

open-reid

Open source person re-identification library in python

Person-reID-triplet-loss

Person re-ID baseline with triplet loss

person-reid-triplet-loss-baseline

Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

PyCHAMELEON

CHAMELEON clustering for Python 2.7.

pytorch-classification

Classification with PyTorch.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

random-memory-adaptation

Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"

reid_baseline

sota of reid model

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

tsn-pytorch

Temporal Segment Networks (TSN) in PyTorch

wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100