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 3001–3025 of 10420 papers

TitleStatusHype
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications—0
Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures—0
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack—0
A Neural Markovian Multiresolution Image Labeling Algorithm—0
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning—0
Brain tumor grade classification Using LSTM Neural Networks with Domain Pre-Transforms—0
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation—0
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network—0
Brain Tumor Classification Using Medial Residual Encoder Layers—0
A Network Framework for Noisy Label Aggregation in Social Media—0
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification—0
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning—0
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading—0
Evaluating Adversarial Robustness on Document Image Classification—0
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks—0
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task—0
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation—0
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification—0
A Deep Learning Architectures for Kidney Disease Classification—0
BraidNet: procedural generation of neural networks for image classification problems using braid theory—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images—0
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary—0
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds—0
Boundary Unlearning—0
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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