Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
Comments to appear IJCV. arXiv admin note: text overlap with arXiv:2009.13898
期刊&会议
International Journal of Computer Vision · 期刊 · Computer Vision
Comments to appear IJCV. arXiv admin note: text overlap with arXiv:2009.13898
Comments Accepted to International Journal of Computer Vision (IJCV). Code is available at https://github.com/google-research/google-research/tree/master/poem. Video synchronization results are available at https://drive.google.com/corp/drive/folders/1nhPuEcX4Lhe6iK3nv84cvSCov2eJ52Xy. arXiv admin note: text overlap with arXiv:1912.01001
Comments Accepted for publication in International Journal of Computer Vision, Special Issue on 3D Computer Vision. Code and data: https://github.com/BestSonny/SPCM
Comments Accepted for publication by International Journal of Computer Vision (IJCV)
Comments Ranked # 1 on Cityscapes panoptic segmentation benchmark, ranked # 2 among the published methods on Cityscapes semantic segmentation benchmark, and ranked # 2 among the published methods on Cityscapes instance segmentation benchmark. Demo, code and models are available at https://rl.uni-freiburg.de/research/panoptic
Journal ref International Journal of Computer Vision (IJCV), vol. 129, no. 5, pp. 1551-1579, 2021
Comments A Live demo is available at http://deepscene.cs.uni-freiburg.de and the code as well as the models are available at https://github.com/DeepSceneSeg
Journal ref International Journal of Computer Vision (IJCV), Special Issue: Deep Learning for Robotic Vision, vol. 128, no. 5, pp. 1239-1285, 2019
Journal ref International Journal of Computer Vision, 129(11), 3088-3118,2021
Comments Submitted to IJCV
Comments International Journal of Computer Vision
Comments Accepted by the International Journal of Computer Vision (IJCV). Both the datasets and source code are available at https://github.com/JizhiziLi/GFM
Comments 14 pages, 11 figures, journal extension of NAS-FCOS (CVPR 2020), accepted by IJCV. arXiv admin note: substantial text overlap with arXiv:1906.04423
Comments IJCV 2021
Journal ref International Journal of Computer Vision, 129(11), 2021, 3069-3087
Comments This work is accepted by IJCV. Code is available at \url{https://github.com/dk-liang/AutoScale.git}
Comments Accepted version of our IJCV paper
Journal ref International Journal of Computer Vision. 2021 May 7:1-39
Comments 15 pages, 13 figures
Journal ref International Journal of Computer Vision, 2019
Comments Accepted at the International Journal of Computer Vision (IJCV). Dataset available from: http://epic-kitchens.github.io/
Comments Accepted to IJCV
Comments International Journal of Computer Vision (IJCV), Sep 2021
Comments Accepted by IJCV. Journal extension of paper arXiv:1904.02701
Comments Under submission at IJCV (BMVC 2020 Extension). arXiv admin note: substantial text overlap with arXiv:2008.05667
Comments Accepted in IJCV
Comments Accepted by IJCV; The code is available at https://github.com/Sha-Lab/aCASTLE
Journal ref IJCV (2021)
Comments Accepted by IJCV. arXiv admin note: substantial text overlap with arXiv:2007.11755
Comments 21 pages, 11 figures, 1 table, 3 algorithms. Forthcoming in the International Journal of Computer Vision
Comments Accepted by IJCV
Comments 21 pages
Journal ref International Journal of Computer Vision (2021)
Comments International Journal of Computer Vision (IJCV)
Comments It has been accepted for publication in International Journal of Computer Vision (2021)
Comments Accepted to IJCV