8 citations · 11 across the 4 of their papers we have counts for
5 papers
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
Jialun Pei, Tianyang Cheng, Deng-Ping Fan +3
We present OSFormer, the first one-stage transformer framework for camouflaged instance segmentation (CIS). OSFormer is based on two key designs. First, we design a location-sensin…
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
Hua Li, Yuheng Jia, Runmin Cong +3
Superpixel segmentation aims at dividing the input image into some representative regions containing pixels with similar and consistent intrinsic properties, without any prior know…
Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation
Goran Glavaš, Ivan Vulić
Traditional NLP has long held (supervised) syntactic parsing necessary for successful higher-level semantic language understanding (LU). The recent advent of end-to-end neural mode…
Salient Instance Segmentation via Subitizing and Clustering
Jialun Pei, He Tang, Chao Liu +1
The goal of salient region detection is to identify the regions of an image that attract the most attention. Many methods have achieved state-of-the-art performance levels on this…
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing
Jianzhong Sheng, Chuanbo Chen, Chenchen Fu +1
Convolution operations dominate the overall execution time of Convolutional Neural Networks (CNNs). This paper proposes an easy yet efficient technique for both Convolutional Neura…