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 4201–4225 of 10420 papers

TitleStatusHype
PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks—0
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks—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
An evaluation of pre-trained models for feature extraction in image classification—0
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network—0
A Comprehensive Review of Generative AI in Healthcare—0
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial AttacksCode0
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images—0
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
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization—0
PRIME: Prioritizing Interpretability in Failure Mode Extraction—0
ResBit: Residual Bit Vector for Categorical Values—0
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsCode0
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering—0
SCoRe: Submodular Combinatorial Representation Learning—0
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCode0
Prototype Generation: Robust Feature Visualisation for Data Independent InterpretabilityCode0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
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
Ultra-low-power Image Classification on Neuromorphic HardwareCode0
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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