abandonsea Goto Github PK

tf_nima

Implementation of technical image quality model based on Google's research paper "NIMA: Neural Image Assessment".

tgrs_2021_mdn-asp

Multi-direction Networks with Attentional Spectral Prior for Hyperspectral Image Classification, TGRS, 2021.

three-dimensional-convolutional-neural-network-model-for-tree-species-classification-using-airborne-

Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images

tkp

Pytorch implementation of Temporal Knowledge Propagation for Image-to-Video Person Re-identification

tmnet

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

tomoiqa

Image quality assessment for tomography images

tonemappingiqa

This is the code provided with the paper "An Evaluation of Objective Image Quality Assessment for Thermal Infrared Video Tone Mapping" by Teutsch et al., IEEE CVPR Workshops 2020.

top-dropblock

Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020

top-view-multi-person-tracking

This repo contains links to multi-person re-identification and tracking dataset in top view multi-camera environment.

tpe-3d-cnn

Spectral–Spatial Classification of Hyperspectral Image Based on Self-adaptive Deep Residual 3D Convolutional Neural Network

tracer

TRACER: Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch

transiqa

Image quality assessment by transfer learning

transreid-ssl

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

trasformersod

A unified framework for Transformer supervised/weakly supervised SOD, RGBD SOD, COD

tres

No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

triplet-reid

Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.

triplet-reid-pytorch

My implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]

triplet-reid-pytorch-1

A pytorch implementation of the "In Defense of the Triplet Loss for Person Re-Identification" paper (https://arxiv.org/abs/1703.07737). It also contains a implementation of the MGN network from the paper "Learning Discriminative Features with Multiple Granularities for Person Re-Identification". Reaches 83.17% mAP with MGN.

tritransnet

twice-mixing

A Rank Learning based Quality Assessment Approach For Underwater Image Enhancement

twostreamiqa

Pytorch version of IEEE Transactions on Image Processing 2019 : "Two-Stream Convolutional Networks for Blind Image Quality Assessment"

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

uacanet

Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation (ACMMM 2021)

ucnet

UC-Net: Uncertainty Inspired RGB-D Saliency Detectionvia Conditional Variational Autoencoders, CVPR2020

udasod-upl

Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning, AAAI Conference on Artificial Intelligence (AAAI), 2022

ufo

Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection”.

uncertaintyestimation

unique

The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'

unrealperson

[CVPR-2021] UnrealPerson: An adaptive pipeline for costless person re-identification

unsupervised-hyperspectral-image-classification