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Found 6 papers, 1 papers with code
Learning State-Invariant Representations of Objects from Image Collections with State, Pose, and Viewpoint Changes
We believe that this dataset will facilitate research in fine-grained object recognition and retrieval of objects that are capable of state changes.
Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval
This paper presents an attention-based dual-encoder architecture with specially designed loss functions that optimize the inter- and intra-class distances simultaneously in two different embedding spaces, one for the category embeddings and the other for the object-level embeddings.
Shape of You: Precise 3D shape estimations for diverse body types
This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems.
Ranked #4 on
3D Human Shape Estimation
on SSP-3D
Eating Smart: Free-ranging dogs follow an optimal foraging strategy while scavenging in groups
The current experiment was carried out on groups of dogs with the same set up to see the change in foraging strategies, if any, under the influence of social cost like intra-group competition.
OutfitTransformer: Learning Outfit Representations for Fashion Recommendation
For compatibility prediction, we design an outfit token to capture a global outfit representation and train the framework using a classification loss.
CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces
We present CheckSoft, a scalable event-driven software architecture for keeping track of people-object interactions in people-centric applications such as airport checkpoint security areas, automated retail stores, smart libraries, and so on.
