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 15261550 of 10420 papers

TitleStatusHype
Boosting Convolutional Neural Networks with Middle Spectrum Grouped ConvolutionCode1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
A General Regret Bound of Preconditioned Gradient Method for DNN TrainingCode1
MetaDelta: A Meta-Learning System for Few-shot Image ClassificationCode1
An Empirical Investigation of Representation Learning for ImitationCode1
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchCode1
An Empirical Investigation of the Role of Pre-training in Lifelong LearningCode1
FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss FunctionCode1
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image ClassificationCode1
Causal Transportability for Visual RecognitionCode1
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel RepresentationCode1
A deep active learning system for species identification and counting in camera trap imagesCode1
Detecting AutoAttack Perturbations in the Frequency DomainCode1
FatNet: High Resolution Kernels for Classification Using Fully Convolutional Optical Neural NetworksCode1
Boosting Multi-Label Image Classification with Complementary Parallel Self-DistillationCode1
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image ClassificationCode1
Hybrid Supervision Learning for Pathology Whole Slide Image ClassificationCode1
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersCode1
Boosting the Adversarial Transferability of Surrogate Models with Dark KnowledgeCode1
FC-KAN: Function Combinations in Kolmogorov-Arnold NetworksCode1
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationCode1
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding AttacksCode1
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image ClassificationCode1
Show:102550
← PrevPage 62 of 417Next →

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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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