Research challenges, recent advances, and popular datasets in deep learning-based underwater marine object detection: A review
Underwater marine object detection, as one of the most fundamental techniques in the
community of marine science and engineering, has been shown to exhibit tremendous …
community of marine science and engineering, has been shown to exhibit tremendous …
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 …
Feature fusion vision transformer for fine-grained visual categorization
The core for tackling the fine-grained visual categorization (FGVC) is to learn subtle yet
discriminative features. Most previous works achieve this by explicitly selecting the …
discriminative features. Most previous works achieve this by explicitly selecting the …
Sim-trans: Structure information modeling transformer for fine-grained visual categorization
Fine-grained visual categorization (FGVC) aims at recognizing objects from similar
subordinate categories, which is challenging and practical for human's accurate automatic …
subordinate categories, which is challenging and practical for human's accurate automatic …
Your" flamingo" is my" bird": Fine-grained, or not
Whether what you see in Figure 1 is a" flamingo" or a" bird", is the question we ask in this
paper. While fine-grained visual classification (FGVC) strives to arrive at the former, for the …
paper. While fine-grained visual classification (FGVC) strives to arrive at the former, for the …
Integrated animal monitoring system with animal detection and classification capabilities: a review on image modality, techniques, applications, and challenges
The continuous monitoring of animals is crucial for the well-being of both humans and
animals. A comprehensive animal monitoring system must incorporate animal detection …
animals. A comprehensive animal monitoring system must incorporate animal detection …
Fine-grained visual classification via internal ensemble learning transformer
Recently, vision transformers (ViTs) have been investigated in fine-grained visual
recognition (FGVC) and are now considered state of the art. However, most ViT-based works …
recognition (FGVC) and are now considered state of the art. However, most ViT-based works …
Transformer with peak suppression and knowledge guidance for fine-grained image recognition
Fine-grained image recognition is challenging because discriminative clues are usually
fragmented, whether from a single image or multiple images. Despite their significant …
fragmented, whether from a single image or multiple images. Despite their significant …
Fine-grained object classification via self-supervised pose alignment
Semantic patterns of fine-grained objects are determined by subtle appearance difference of
local parts, which thus inspires a number of part-based methods. However, due to …
local parts, which thus inspires a number of part-based methods. However, due to …
Fine-grained recognition with learnable semantic data augmentation
Fine-grained image recognition is a longstanding computer vision challenge that focuses on
differentiating objects belonging to multiple subordinate categories within the same meta …
differentiating objects belonging to multiple subordinate categories within the same meta …