DeepAI AI Chat
Log In Sign Up

Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition

by   Xiao Liu, et al.
Baidu, Inc.

A key challenge in fine-grained recognition is how to find and represent discriminative local regions. Recent attention models are capable of learning discriminative region localizers only from category labels with reinforcement learning. However, not utilizing any explicit part information, they are not able to accurately find multiple distinctive regions. In this work, we introduce an attribute-guided attention localization scheme where the local region localizers are learned under the guidance of part attribute descriptions. By designing a novel reward strategy, we are able to learn to locate regions that are spatially and semantically distinctive with reinforcement learning algorithm. The attribute labeling requirement of the scheme is more amenable than the accurate part location annotation required by traditional part-based fine-grained recognition methods. Experimental results on the CUB-200-2011 dataset demonstrate the superiority of the proposed scheme on both fine-grained recognition and attribute recognition.


page 2

page 7

page 8


Attribute-Aware Attention Model for Fine-grained Representation Learning

How to learn a discriminative fine-grained representation is a key point...

Region-Manipulated Fusion Networks for Pancreatitis Recognition

This work first attempts to automatically recognize pancreatitis on CT s...

FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval

The Localization of the target object for data retrieval is a key issue ...

Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network

This paper strives to learn fine-grained fashion similarity. In this sim...

Multi-View Active Fine-Grained Recognition

As fine-grained visual classification (FGVC) being developed for decades...

Toward Standardized Performance Evaluation of Flow-guided Nanoscale Localization

Nanoscale devices featuring Terahertz (THz)-based wireless communication...

Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning

This paper strives to predict fine-grained fashion similarity. In this s...