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acnet

An unofficial Implementation of ACNet based on PyTorch.

api-net

Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

awesome-object-proposals

A curated list of object proposals resources for object detection

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

cnn

craftgbd

code for CUImage and CUVideo

dbtnet

Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"

detectrcnn

Detect RCNN

detectron

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

fgvc-pim

Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.

imgclsmob

Sandbox for training deep learning networks

momn

MOMN

mutual-channel-loss

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

nest

:bulb: A flexible tool for building and sharing deep learning modules.

nts-net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

ntsnet-cub200

opam_tip2018

Source code of our TIP 2018 paper "Object-Part Attention Model for Fine-grained Image Classification"

practical-ml-vision-book

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

s3n

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satellite-imagery-datasets-containing-ships

A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

self-supervised-learning-for-fine-grained-image-classification

Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification

shiprsimagenet

ShipRSImageNet is the largest ship detection dataset in the Computer Vision and Earth Vision communities.

single-image-dehazing-python

python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"

sun-glint-correction

tasn

Trilinear Attention Sampling Network for Fine-grained Image Recognition

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

vision

Datasets, Transforms and Models specific to Computer Vision