SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 17511775 of 10420 papers

TitleStatusHype
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification0
Randomized Principal Component Analysis for Hyperspectral Image Classification0
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning0
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks0
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models0
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image ClassifiersCode0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification0
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural NetworksCode1
DAM: Dynamic Adapter Merging for Continual Video QA LearningCode1
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks0
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments0
12 mJ per Class On-Device Online Few-Shot Class-Incremental LearningCode0
Backdoor Attack with Mode Mixture Latent Modification0
Premonition: Using Generative Models to Preempt Future Data Changes in Continual LearningCode0
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance0
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image ClassificationCode1
In-context learning enables multimodal large language models to classify cancer pathology images0
A Bayesian Approach to OOD Robustness in Image ClassificationCode0
Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset0
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge0
Leveraging Internal Representations of Model for Magnetic Image Classification0
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations0
Shortcut Learning in Medical Image SegmentationCode0
Active Generation for Image ClassificationCode0
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified