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Found 5 papers, 4 papers with code
Learning to Upsample by Learning to Sample
We present DySample, an ultra-lightweight and effective dynamic upsampler.
On Point Affiliation in Feature Upsampling
We introduce the notion of point affiliation into feature upsampling.
Box-DETR: Understanding and Boxing Conditional Spatial Queries
In DAB-DETR, such queries are modulated by the so-called conditional linear projection at each decoder stage, aiming to search for positions of interest such as the four extremities of the box.
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
We introduce point affiliation into feature upsampling, a notion that describes the affiliation of each upsampled point to a semantic cluster formed by local decoder feature points with semantic similarity.
Ranked #5 on
Feature Upsampling
on ImageNet
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling
We consider the problem of task-agnostic feature upsampling in dense prediction where an upsampling operator is required to facilitate both region-sensitive tasks like semantic segmentation and detail-sensitive tasks such as image matting.
