Fine-grained image analysis with deep learning: A survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer
vision and pattern recognition, and underpins a diverse set of real-world applications. The …
vision and pattern recognition, and underpins a diverse set of real-world applications. The …
Attribute-aware deep hashing with self-consistency for large-scale fine-grained image retrieval
Our work focuses on tackling large-scale fine-grained image retrieval as ranking the images
depicting the concept of interests (ie, the same sub-category labels) highest based on the …
depicting the concept of interests (ie, the same sub-category labels) highest based on the …
Multi-scale fine-grained alignments for image and sentence matching
W Li, Y Wang, Y Su, X Li, AA Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Image and sentence matching is a critical task to bridge the visual and textual discrepancy
due to the heterogeneous modalities. Great progress has been made by exploring the …
due to the heterogeneous modalities. Great progress has been made by exploring the …
A-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
Our work focuses on tackling large-scale fine-grained image retrieval as ranking the images
depicting the concept of interests (ie, the same sub-category labels) highest based on the …
depicting the concept of interests (ie, the same sub-category labels) highest based on the …
Sub-region localized hashing for fine-grained image retrieval
Fine-grained image hashing is challenging due to the difficulties of capturing discriminative
local information to generate hash codes. On the one hand, existing methods usually extract …
local information to generate hash codes. On the one hand, existing methods usually extract …
A Survey on Fashion Image Retrieval
Fashion is the manner in which we introduce ourselves to the world and has become
perhaps the biggest industry on the planet. In recent years, fashion-related research has …
perhaps the biggest industry on the planet. In recent years, fashion-related research has …
Deep progressive asymmetric quantization based on causal intervention for fine-grained image retrieval
In the field of computer vision, fine-grained image retrieval is an extremely challenging task
due to the inherently subtle intra-class object variations. In addition, the high-dimensional …
due to the inherently subtle intra-class object variations. In addition, the high-dimensional …
Deep hash distillation for image retrieval
In hash-based image retrieval systems, degraded or transformed inputs usually generate
different codes from the original, deteriorating the retrieval accuracy. To mitigate this issue …
different codes from the original, deteriorating the retrieval accuracy. To mitigate this issue …
SEMICON: A learning-to-hash solution for large-scale fine-grained image retrieval
In this paper, we propose S uppression-E nhancing M ask based attention and I nteractive C
hannel transformati ON (SEMICON) to learn binary hash codes for dealing with large-scale …
hannel transformati ON (SEMICON) to learn binary hash codes for dealing with large-scale …
Dual-stream knowledge-preserving hashing for unsupervised video retrieval
Unsupervised video hashing usually optimizes binary codes by learning to reconstruct input
videos. Such reconstruction constraint spends much effort on frame-level temporal context …
videos. Such reconstruction constraint spends much effort on frame-level temporal context …