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Found 4 papers, 1 papers with code
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition
First, current personalization techniques fail to reliably extend to multiple concepts -- we hypothesize this to be due to the mismatch between complex scenes and simple text descriptions in the pre-training dataset (e. g., LAION).
From Graph Local Embedding to Deep Metric Learning
We comprehensively identify the missing neighborhood relationships issue of conventional embedding and propose a novel approach, termed as Graph Local Embedding (GLE), to deep metric learning.
Adaptive Image Transformer for One-Shot Object Detection
One-shot object detection tackles a challenging task that aims at identifying within a target image all object instances of the same class, implied by a query image patch.
Feature Integration and Group Transformers for Action Proposal Generation
The task of temporal action proposal generation (TAPG) aims to provide high-quality video segments, i. e., proposals that potentially contain action events.
