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 3351–3400 of 10419 papers

TitleStatusHype
Multi-branch CNN and grouping cascade attention for medical image classification—0
Scarecrow monitoring system:employing mobilenet ssd for enhanced animal supervision—0
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks—0
Semantic Compositions Enhance Vision-Language Contrastive Learning—0
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
RepAct: The Re-parameterizable Adaptive Activation FunctionCode0
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data RegimesCode0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
Instance Temperature Knowledge DistillationCode0
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation—0
Adaptive Stochastic Weight AveragingCode0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification—0
Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention—0
Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical InvestigationCode0
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averagingCode0
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuningCode0
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases DetectionCode0
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels—0
Improving Quaternion Neural Networks with Quaternionic Activation Functions—0
Learning in Wilson-Cowan model for metapopulationCode0
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification—0
Speeding Up Image Classifiers with Little Companions—0
Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks—0
Improving robustness to corruptions with multiplicative weight perturbationsCode0
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
Cross-domain Open-world DiscoveryCode0
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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