:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gosal, Oswin, Rios, Edwin Arkel, Surya, Augusto Christian, Mikael, Fernando, Lai, Bo-Cheng, Hu, Min-Chun
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition I.2; I.4
Online Access:	https://arxiv.org/abs/2605.15689
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fine-Grained Image Recognition from Scratch with Teacher-Guided Data Augmentation
by: Rios, Edwin Arkel, et al.
Published: (2025)

A Large-Scale Study on the Accuracy vs Cost Trade-offs of Training and Evaluation Settings in Fine-Grained Image Recognition
by: Rios, Edwin Arkel, et al.
Published: (2026)

Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers
by: Rios, Edwin Arkel, et al.
Published: (2024)

Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition
by: Rios, Edwin Arkel, et al.
Published: (2024)

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition
by: Rios, Edwin Arkel, et al.
Published: (2024)

How to Choose a Reinforcement-Learning Algorithm
by: Bongratz, Fabian, et al.
Published: (2024)

How Can One Choose the Best CAM-Based Explainability Method for a CNN Model?
by: Costa, Daniel da Silva, et al.
Published: (2026)

Mistake Attribution: Fine-Grained Mistake Understanding in Egocentric Videos
by: Li, Yayuan, et al.
Published: (2025)

Automated Pollen Recognition in Optical and Holographic Microscopy Images
by: Warshaneyan, Swarn Singh, et al.
Published: (2025)

FAME: Feature Activation Map Explanation on Image Classification and Face Recognition
by: Zhang, Xinyi, et al.
Published: (2026)

AI-Augmented Pollen Recognition in Optical and Holographic Microscopy for Veterinary Imaging
by: Warshaneyan, Swarn S., et al.
Published: (2025)

Learning Hierarchical Image Segmentation For Recognition and By Recognition
by: Ke, Tsung-Wei, et al.
Published: (2022)

TAG-Head: Time-Aligned Graph Head for Plug-and-Play Fine-grained Action Recognition
by: Hassan, Imtiaz Ul, et al.
Published: (2026)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)

Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth
by: Ramsey, Joseph D., et al.
Published: (2024)

GeoPos: A Minimal Positional Encoding for Enhanced Fine-Grained Details in Image Synthesis Using Convolutional Neural Networks
by: Hosseini, Mehran, et al.
Published: (2024)

How do Foundation Models Compare to Skeleton-Based Approaches for Gesture Recognition in Human-Robot Interaction?
by: Käs, Stephanie, et al.
Published: (2025)

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation
by: Merugu, Ranjith, et al.
Published: (2025)

Image-Based Leopard Seal Recognition: Approaches and Challenges in Current Automated Systems
by: Salazar, Jorge Yero, et al.
Published: (2024)

GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset
by: Zhang, Zhiwei, et al.
Published: (2025)

Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
by: Chen, Mu-Chi, et al.
Published: (2026)

Normalizing Flow-Based Metric for Image Generation
by: Jeevan, Pranav, et al.
Published: (2024)

Data Augmentation with Diffusion Models for Colon Polyp Localization on the Low Data Regime: How much real data is enough?
by: Tormos, Adrian, et al.
Published: (2024)

Fine-Grained Emotion Recognition via In-Context Learning
by: Ren, Zhaochun, et al.
Published: (2025)

ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
by: Aghdam, Amir, et al.
Published: (2025)

Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift
by: Chien, Sheng-You, et al.
Published: (2026)

MSPCaps: A Multi-Scale Patchify Capsule Network with Cross-Agreement Routing for Visual Recognition
by: Hu, Yudong, et al.
Published: (2025)

SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
by: Hu, Yangliu, et al.
Published: (2025)

CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
by: Gupta, Sunny, et al.
Published: (2024)

Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines
by: Lai, Junyu, et al.
Published: (2024)

Evaluation Metric for Quality Control and Generative Models in Histopathology Images
by: Jeevan, Pranav, et al.
Published: (2024)

A Multi-Camera Vision-Based Approach for Fine-Grained Assembly Quality Control
by: Nazeri, Ali, et al.
Published: (2025)

COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coherence Tomography Image Classification
by: Rivera, Mariano, et al.
Published: (2025)

WaveMix: A Resource-efficient Neural Network for Image Analysis
by: Jeevan, Pranav, et al.
Published: (2022)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
by: Kashyap, Pankhi, et al.
Published: (2024)

Choosing features for classifying multiword expressions
by: Laporte, Eric
Published: (2026)

From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design
by: Ocker, Felix, et al.
Published: (2025)

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
by: Ma, Shuxian, et al.
Published: (2025)

Pointing-Based Object Recognition
by: Hajdúch, Lukáš, et al.
Published: (2026)

Seeing in the Dark: A Teacher-Student Framework for Dark Video Action Recognition via Knowledge Distillation and Contrastive Learning
by: Dass, Sharana Dharshikgan Suresh, et al.
Published: (2025)