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

Showing 98269850 of 10420 papers

TitleStatusHype
Learning to Generate Synthetic Training Data using Gradient Matching and Implicit DifferentiationCode0
Learning to Impute: A General Framework for Semi-supervised LearningCode0
Bayesian Neural Networks With Maximum Mean Discrepancy RegularizationCode0
Learning to Learn from Noisy Labeled DataCode0
Occam Gradient DescentCode0
Regularizing cross entropy loss via minimum entropy and K-L divergenceCode0
Policy-Based Federated LearningCode0
Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised AttentionCode0
Demon: Improved Neural Network Training with Momentum DecayCode0
Learning to Minimize the Remainder in Supervised LearningCode0
PriViT: Vision Transformers for Fast Private InferenceCode0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
Learning to Obstruct Few-Shot Image Classification over Restricted ClassesCode0
A Continual Development Methodology for Large-scale Multitask Dynamic ML SystemsCode0
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease DetectionCode0
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic SurgeryCode0
Regularizing Neural Networks by Stochastically Training Layer EnsemblesCode0
Learning to Remember Rare EventsCode0
GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric CancerCode0
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network ArchitectureCode0
Probabilistic Deep Metric Learning for Hyperspectral Image ClassificationCode0
Probabilistic Discriminative Learning with Layered Graphical ModelsCode0
Offline Handwritten Amharic Character Recognition Using Few-shot LearningCode0
Probabilistic End-to-end Noise Correction for Learning with Noisy LabelsCode0
DCFNet: Deep Neural Network with Decomposed Convolutional FiltersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified