Trans10K

Dataset Information
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Overview

A large-scale dataset for transparent object segmentation, named Trans10K, consisting of 10,428 images of real scenarios with carefully manual annotations, which are 10 times larger than the existing datasets.

Source: Segmenting Transparent Objects in the Wild

Variants: Trans10K

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Semantic Segmentation Trans4Trans (T) Trans4Trans: Efficient Transformer for Transparent … 2021-07-07
Semantic Segmentation Trans4Trans (S) Trans4Trans: Efficient Transformer for Transparent … 2021-07-07
Semantic Segmentation Trans4Trans (M) Trans4Trans: Efficient Transformer for Transparent … 2021-07-07
Semantic Segmentation Trans2Seg Segmenting Transparent Object in the … 2021-01-21
Semantic Segmentation Trans2Lab Segmenting Transparent Objects in the … 2020-03-31
Semantic Segmentation DANet Dual Attention Network for Scene … 2018-09-09
Semantic Segmentation OCNet OCNet: Object Context Network for … 2018-09-04
Semantic Segmentation BiSeNet BiSeNet: Bilateral Segmentation Network for … 2018-08-02
Semantic Segmentation DeepLabV3+ Encoder-Decoder with Atrous Separable Convolution … 2018-02-07
Semantic Segmentation ICNet ICNet for Real-Time Semantic Segmentation … 2017-04-27
Semantic Segmentation PSPNet Pyramid Scene Parsing Network 2016-12-04
Semantic Segmentation RefineNet RefineNet: Multi-Path Refinement Networks for … 2016-11-20
Semantic Segmentation U-Net U-Net: Convolutional Networks for Biomedical … 2015-05-18
Semantic Segmentation FCN Fully Convolutional Networks for Semantic … 2014-11-14

Research Papers

Recent papers with results on this dataset: