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Methodology
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Computer Vision
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Analysis
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Object Detection
4772 directly classified papers
Papers per year
2006: 14
2007: 13
2008: 11
2009: 13
2010: 12
2011: 21
2012: 26
2013: 176
2014: 87
2015: 161
2016: 109
2017: 143
2018: 145
2019: 383
2020: 392
2021: 576
2022: 489
2023: 683
2024: 568
2025: 590
2026: 160
Papers
Category Query Learning for Human-Object Interaction Classification
CVPR 2023
Azimuth Super-Resolution for FMCW Radar in Autonomous Driving
CVPR 2023
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval
CVPR 2023
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization
CVPR 2023
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension
CVPR 2023
CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
CVPR 2023
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
CVPR 2023
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction
CVPR 2023
3D Video Object Detection With Learnable Object-Centric Global Optimization
CVPR 2023
A Light Touch Approach to Teaching Transformers Multi-View Geometry
CVPR 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
CVPR 2023
Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving
CVPR 2023
On-the-Fly Category Discovery
CVPR 2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
CVPR 2023
Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis
CVPR 2023
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
CVPR 2023
Learning Transformation-Predictive Representations for Detection and Description of Local Features
CVPR 2023
Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
NIPS 2023
VanillaNet: the Power of Minimalism in Deep Learning
NIPS 2023
Object-centric Learning with Cyclic Walks between Parts and Whole
NIPS 2023
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
NIPS 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
NIPS 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
NIPS 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NIPS 2023
DesCo: Learning Object Recognition with Rich Language Descriptions
NIPS 2023
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