Search Results for author: Tiancai Wang

Found 12 papers, 10 papers with code

Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation

1 code implementation CVPR 2022 Zhiyuan Liang, Tiancai Wang, Xiangyu Zhang, Jian Sun, Jianbing Shen

The tree energy loss is effective and easy to be incorporated into existing frameworks by combining it with a traditional segmentation loss.

Semantic Segmentation

Implicit Feature Refinement for Instance Segmentation

1 code implementation9 Dec 2021 Lufan Ma, Tiancai Wang, Bin Dong, Jiangpeng Yan, Xiu Li, Xiangyu Zhang

Our IFR enjoys several advantages: 1) simulates an infinite-depth refinement network while only requiring parameters of single residual block; 2) produces high-level equilibrium instance features of global receptive field; 3) serves as a plug-and-play general module easily extended to most object recognition frameworks.

Instance Segmentation Object Recognition +2

Implicit Feature Pyramid Network for Object Detection

no code implementations25 Dec 2020 Tiancai Wang, Xiangyu Zhang, Jian Sun

In this paper, we present an implicit feature pyramid network (i-FPN) for object detection.

object-detection Object Detection

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection

1 code implementation3 Dec 2020 Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang

Object detectors usually achieve promising results with the supervision of complete instance annotations.

MULTI-VIEW LEARNING object-detection +2

Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation

1 code implementation13 Aug 2020 Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, Junsong Yuan

In the classification tree, as the number of parent class nodes are significantly less, their logits are less noisy and can be utilized to suppress the wrong/noisy logits existed in the fine-grained class nodes.

Classification Few-Shot Object Detection +5

Learning Human-Object Interaction Detection using Interaction Points

1 code implementation CVPR 2020 Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun

Human-object interaction (HOI) detection strives to localize both the human and an object as well as the identification of complex interactions between them.

Human-Object Interaction Detection Keypoint Detection +1

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