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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3376–3400 of 10420 papers

TitleStatusHype
Improving robustness to corruptions with multiplicative weight perturbationsCode0
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification—0
Jacobian Descent for Multi-Objective Optimization—0
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction—0
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection—0
Reading Is Believing: Revisiting Language Bottleneck Models for Image Classification—0
DiffExplainer: Unveiling Black Box Models Via Counterfactual GenerationCode0
This actually looks like that: Proto-BagNets for local and global interpretability-by-designCode0
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods—0
Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach—0
Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware MinimizationCode0
CNN Based Flank Predictor for Quadruped Animal Species—0
Certification for Differentially Private Prediction in Gradient-Based TrainingCode0
Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects—0
Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency—0
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target TokensCode0
LightGBM robust optimization algorithm based on topological data analysis—0
MiSuRe is all you need to explain your image segmentation—0
Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics—0
Online Anchor-based Training for Image Classification Tasks—0
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification—0
MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised RepresentationsCode0
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
Visually Consistent Hierarchical Image Classification—0
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models—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