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amc

amc-1

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

autovc

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

bltsc

This project provides an implementation for "Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection"

bpl

Official Pytorch implementation of Block-wise Partner Learning for Model Compression[Accepted by IEEE TNNLS 2023]

clan-1

( TPAMI2021 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

clan-paddle

cream

Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search

dataset-pruning-tdds

The official implement of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning"

dataset_format_conversion

Data format conversion for object detection

dataset_quantization

[ICCV2023] Dataset Quantization

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

filter-pruning-geometric-median

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

htc

icey-zhang

lrmf

Pytorch implementation of LRMF.

mobilenets-ssd-pytorch

MobileNet-SSD, MobileNetV2-SSD/SSDLite on VOC, BDD100K Datasets.

objectdetectiondatasets

目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本

rded

reaf

The official implementation of pytorch implementation of REAF [Accepted by IEEE TIP]

recommend_sys

retinaface_paddle

RetinaFace in Paddle

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

sim_sim

simswap

An arbitrary face-swapping framework on images and videos with one single trained model!

soft-filter-pruning

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

sre

sre2l

(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

starganv2-vc