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 5426–5450 of 10420 papers

TitleStatusHype
GhostShiftAddNet: More Features from Energy-Efficient OperationsCode0
Explaining Convolutional Neural Networks by Tagging Filters—0
Audio-Visual Speech Recognition is Worth 32328 Voxels—0
Class incremental learning for video action classification—0
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification—0
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance—0
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene ImageryCode2
The Unreasonable Effectiveness of the Final Batch Normalization Layer—0
PP-LCNet: A Lightweight CPU Convolutional Neural NetworkCode1
Decision Tree Learning with Spatial Modal Logics—0
Transformer-Unet: Raw Image Processing with Unet—0
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image ClassificationCode1
Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs—0
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning—0
Partner-Assisted Learning for Few-Shot Image Classification—0
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGDCode0
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classificationCode0
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance—0
Robust Contrastive Active Learning with Feature-guided Query Strategies—0
Task Guided Compositional Representation Learning for ZDA—0
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos—0
Fine-Grained Few Shot Learning with Foreground Object Transformation—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
BioLCNet: Reward-modulated Locally Connected Spiking Neural NetworksCode0
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?Code1
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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