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abandonsea's Projects

rfnet icon rfnet

RFNet: Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection of Road-driving Images

rgb_ir_personreid icon rgb_ir_personreid

An independent implementation to reproduce the paper "RGB-Infrared Cross-Modality Person Re-Identification" from ICCV2017

rgbd-seg icon rgbd-seg

RGBD Semantic Segmentation on NYUv2, SUN RGBD and CityScapes (pretraining with SceneNet RGB-D)

rgbdbenchmark icon rgbdbenchmark

Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks

rohsi icon rohsi

Source code of "Hyperspectral Image Classification Using Random Occlusion Data Augmentation"

rollback icon rollback

Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification (AAAI2019)

rop icon rop

Try some ideas for Image Quality Assessment with Image Restoration

rrid icon rrid

An official implementation of "Relation Network for Person Re-identification" (AAAI 2020) in PyTorch.

rru-reid icon rru-reid

Code for AAAI2019 paper: Spatial and Temporal Mutual Promotion for Video-based Person Re-identification

s-dmm icon s-dmm

This is an implementation of the S-DMM network presented in "Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification".

s-measure icon s-measure

Structure-measure: A New Way to Evaluate Foreground Maps, IJCV2021 (ICCV 2017-Spotlight)

s2ma icon s2ma

source code of "Learning Selective Self-Mutual Attention for RGB-D Saliency Detection" (CVPR2020)

s3net icon s3net

Code and results for the paper "S$^3$Net: Self-supervised Self-ensembling Network for Semi-supervised RGB-D Salient Object Detection".

sacnet icon sacnet

Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification

sacs_tip2014 icon sacs_tip2014

The Matlab code for Self-adaptively Weighted Co-saliency (SACS) Detection

sae-3ddrn icon sae-3ddrn

This is an implementation of the SAE-3DDRN network presented in "A combination method of stacked autoencoder and 3D deep residual network for hyperspectral image classification"

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