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

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Showing 4151–4200 of 10420 papers

TitleStatusHype
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets—0
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks—0
Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection SystemsCode0
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat OverfitCode0
VeRA: Vector-based Random Matrix Adaptation—0
Instilling Inductive Biases with SubnetworksCode0
Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs—0
Transparent Anomaly Detection via Concept-based Explanations—0
A Non-monotonic Smooth Activation Function—0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
Prior-Free Continual Learning with Unlabeled Data in the WildCode0
A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data—0
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks—0
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification—0
Efficient Model-Agnostic Multi-Group Equivariant Networks—0
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search—0
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy ContinuationCode0
Subspace Adaptation Prior for Few-Shot LearningCode0
Self-supervised visual learning for analyzing firearms trafficking activities on the Web—0
DualAug: Exploiting Additional Heavy Augmentation with OOD Data RejectionCode0
Strategies and impact of learning curve estimation for CNN-based image classification—0
Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks—0
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks—0
Human-Centered Evaluation of XAI Methods—0
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional VisualizationsCode0
Histopathological Image Classification and Vulnerability Analysis using Federated Learning—0
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configurationCode0
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification—0
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural NetworkCode0
Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox—0
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real ImagesCode0
Distributed Transfer Learning with 4th Gen Intel Xeon Processors—0
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain—0
Hierarchical Side-Tuning for Vision Transformers—0
Text-driven Prompt Generation for Vision-Language Models in Federated Learning—0
What do larger image classifiers memorise?—0
Unleashing the power of Neural Collapse for Transferability Estimation—0
Enhancing Representations through Heterogeneous Self-Supervised Learning—0
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks—0
Activate and Reject: Towards Safe Domain Generalization under Category Shift—0
A privacy-preserving method using secret key for convolutional neural network-based speech classification—0
PriViT: Vision Transformers for Fast Private InferenceCode0
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification—0
DED: Diagnostic Evidence Distillation for acne severity grading on face imagesCode0
Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning—0
Heterogeneous Federated Learning Using Knowledge Codistillation—0
PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks—0
Dynamic Shuffle: An Efficient Channel Mixture Method—0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis—0
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified