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Found 4 papers, 4 papers with code
OneFormer: One Transformer to Rule Universal Image Segmentation
However, such panoptic architectures do not truly unify image segmentation because they need to be trained individually on the semantic, instance, or panoptic segmentation to achieve the best performance.
Ranked #1 on
Semantic Segmentation
on Mapillary val
Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand
We claim that the performance of inpainting algorithms can be better judged by the generated structures and textures.
SeMask: Semantically Masked Transformers for Semantic Segmentation
To achieve this, we propose SeMask, a simple and effective framework that incorporates semantic information into the encoder with the help of a semantic attention operation.
Ranked #4 on
Semantic Segmentation
on Cityscapes val
DEAP Cache: Deep Eviction Admission and Prefetching for Cache
While previous approaches used the past as an indicator of the future, we instead explicitly model the future frequency and recency in a multi-task fashion with prefetching, leveraging the abilities of deep networks to capture futuristic trends and use them for learning eviction and admission.
