Baseline Fusion for Image and Pattern Recognition—What Not to Do (and How to Do Better) · 1. Introduction · 2. Uninformed Information Fusion · 3. Experimental ...
In this paper I argue that despite this track record, weighted linear fusion is not a good baseline on the grounds that there is an equally simple and ...
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In this paper I argue that despite this track record, weighted linear fusion is not a good baseline on the grounds that there is an equally simple and ...
We propose a confusion-focusing mechanism and a focus-picking loss function by considering confusing inter-class interactions.
Mar 2, 2022 · A baseline takes only 10% of the time to develop, but will get us 90% of the way to achieve reasonably good results. But how do I properly select one?
Missing: Fusion Pattern
Nov 12, 2020 · What images would you set for Roughness, Translucency, Emissivity, Relief Pattern (Bump), Cutout, and Advanced Highlight Controls?
Missing: Baseline Recognition -
We review the current schemes of text-image matching models and propose improvements for both training and inference. First, we em-.
Nov 24, 2024 · Firstly, mitigate the adverse effects of location errors in semantic features. The encoder obtains richer semantic information by downsampling, ...
Using PRN and PReNet, the deraining performance can be further improved by taking both stage-wise re- sult and original rainy image as input to each ResNet, and ...
Superior results towards several SOTA methods verify that the proposed baselines not only perform well for anatomi- cally stable structures (such as brain ...