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 2351–2400 of 10419 papers

TitleStatusHype
What do larger image classifiers memorise?—0
Enhancing Representations through Heterogeneous Self-Supervised Learning—0
Progressive Neural Compression for Adaptive Image Offloading under Timing ConstraintsCode1
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks—0
Activate and Reject: Towards Safe Domain Generalization under Category Shift—0
PriViT: Vision Transformers for Fast Private InferenceCode0
A privacy-preserving method using secret key for convolutional neural network-based speech classification—0
TiC: Exploring Vision Transformer in ConvolutionCode1
Why Do We Need Weight Decay in Modern Deep Learning?Code1
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification—0
Improved Baselines with Visual Instruction TuningCode6
DED: Diagnostic Evidence Distillation for acne severity grading on face imagesCode0
PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks—0
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models—0
Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning—0
SemiReward: A General Reward Model for Semi-supervised LearningCode1
ViT-ReciproCAM: Gradient and Attention-Free Visual Explanations for Vision TransformerCode1
Heterogeneous Federated Learning Using Knowledge Codistillation—0
Dynamic Shuffle: An Efficient Channel Mixture Method—0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks—0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis—0
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images—0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image ClassificationCode0
Extending CAM-based XAI methods for Remote Sensing Imagery SegmentationCode1
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
An evaluation of pre-trained models for feature extraction in image classification—0
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network—0
A Framework for Inference Inspired by Human Memory MechanismsCode1
A Comprehensive Review of Generative AI in Healthcare—0
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial AttacksCode0
Ajwa or Medjool: a binary balanced dataset to teach machine learning عجوة أو مجدول: مجموعة بيانات متوازنة الصنفين لتدريس تعلم الآلة‏Code0
Learnable Extended Activation Function (LEAF) for Deep Neural NetworksCode0
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images—0
PRIME: Prioritizing Interpretability in Failure Mode Extraction—0
SCoRe: Submodular Combinatorial Representation Learning—0
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCode0
ResBit: Residual Bit Vector for Categorical Values—0
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsCode0
Prototype Generation: Robust Feature Visualisation for Data Independent InterpretabilityCode0
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization—0
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering—0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
Ultra-low-power Image Classification on Neuromorphic HardwareCode0
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling—0
Logarithm-transform aided Gaussian Sampling for Few-Shot LearningCode0
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language ModelsCode0
Enhancing Sharpness-Aware Optimization Through Variance SuppressionCode1
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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