Abstract: CLIP has greatly advanced zero-shot segmentation by leveraging its strong visual-language association and generalization capability. However, directly adapting CLIP for segmentation often ...

Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...

Can AI image models preserve identity across edits, follow complex instructions, and combine existing assets without visual collapse?

Dashboards show what happened, copilots guess why; teams need multi-agent AI analysts that actually explain problems and tell ...

Explore the transformation of consumer identity and the failure of traditional market segmentation strategies as regulations ...

Introduction: Picking Up the Quantum Thread In Part 1 of this two-part series, I confessed that this whole journey was ...

This repo contains a PyTorch an implementation of different semantic segmentation models for different datasets. Note that when using COCO dataset, 164k version is used per default, if 10k is prefered ...

Hitem3D 2.0 adds a portrait mode described as "strand-level fidelity," aiming to reconstruct head shape and facial proportions structurally while preserving fine detail like hair flow direction, brows ...

Semantic segmentation is critical in medical image processing, with traditional specialist models facing adaptation challenges to new tasks or distribution shifts. While both generalist pre-trained ...

Abstract: Goal: Persons with blindness or low vision (pBLV) face challenges in completing activities of daily living (ADLs/IADLs). Semantic segmentation techniques on smartphones, like DeepLabV3+, can ...