8 citations · 8 across the 4 of their papers we have counts for
4 papers
RSSOD-Bench: A large-scale benchmark dataset for Salient Object Detection in Optical Remote Sensing Imagery
Zhitong Xiong, Yanfeng Liu, Qi Wang +1
We present the RSSOD-Bench dataset for salient object detection (SOD) in optical remote sensing imagery. While SOD has achieved success in natural scene images with deep learning,…
E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers
J. Brennan Peace, Eric Psota, Yanfeng Liu +1
Existing fiducial markers solutions are designed for efficient detection and decoding, however, their ability to stand out in natural environments is difficult to infer from relati…
Exploiting Invariance in Training Deep Neural Networks
Chengxi Ye, Xiong Zhou, Tristan McKinney +3
Inspired by two basic mechanisms in animal visual systems, we introduce a feature transform technique that imposes invariance properties in the training of deep neural networks. Th…
Layered Embeddings for Amodal Instance Segmentation
Yanfeng Liu, Eric Psota, Lance Pérez
The proposed method extends upon the representational output of semantic instance segmentation by explicitly including both visible and occluded parts. A fully convolutional networ…