Object

Description from the archive archive 2025-07-28.

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Most implemented papers archive 2025-07-28

30 shown of 3,979 papers with code (10,696 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Focal Loss for Dense Object Detection
  7 Aug 2017 234 repositories listed Syntology ran 11 of 11 samples · 0 unverified · 6 pointer-only (licence)
  Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.
• YOLO9000: Better, Faster, Stronger
  25 Dec 2016 231 repositories listed Syntology ran 16 of 60 samples · 44 unverified · 22 pointer-only (licence)
  On the 156 classes not in COCO, YOLO9000 gets 16.
• YOLOv4: Optimal Speed and Accuracy of Object Detection
  23 Apr 2020 223 repositories listed Syntology ran 24 of 184 samples · 160 unverified · 8 pointer-only (licence)
  There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy.
• SSD: Single Shot MultiBox Detector
  8 Dec 2015 221 repositories listed Syntology ran 19 of 131 samples · 112 unverified · 5 pointer-only (licence)
  Experimental results on the PASCAL VOC, MS COCO, and ILSVRC datasets confirm that SSD has comparable accuracy to methods that utilize an additional object proposal step and is much faster, while providing a unified…
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  4 Jun 2015 196 repositories listed Syntology ran 59 of 124 samples · 65 unverified · 42 pointer-only (licence)
  In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals.
• Mask R-CNN
  20 Mar 2017 179 repositories listed Syntology ran 42 of 140 samples · 98 unverified · 23 pointer-only (licence)
  Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.
• You Only Look Once: Unified, Real-Time Object Detection
  8 Jun 2015 144 repositories listed Syntology ran 80 of 148 samples · 68 unverified · 98 pointer-only (licence)
  A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation.
• FCOS: Fully Convolutional One-Stage Object Detection
  2 Apr 2019 87 repositories listed Syntology ran 13 of 40 samples · 27 unverified · 18 pointer-only (licence)
  By eliminating the predefined set of anchor boxes, FCOS completely avoids the complicated computation related to anchor boxes such as calculating overlapping during training.
• Feature Pyramid Networks for Object Detection
  9 Dec 2016 85 repositories listed Syntology ran 16 of 51 samples · 35 unverified · 11 pointer-only (licence)
  Feature pyramids are a basic component in recognition systems for detecting objects at different scales.
• Objects as Points
  16 Apr 2019 76 repositories listed Syntology ran 10 of 130 samples · 120 unverified
  We model an object as a single point --- the center point of its bounding box.
• Frustum PointNets for 3D Object Detection from RGB-D Data
  22 Nov 2017 68 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 2 pointer-only (licence)
  In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes.
• EfficientDet: Scalable and Efficient Object Detection
  20 Nov 2019 64 repositories listed Syntology ran 11 of 70 samples · 59 unverified · 3 pointer-only (licence)
  Model efficiency has become increasingly important in computer vision.
• R-FCN: Object Detection via Region-based Fully Convolutional Networks
  20 May 2016 48 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, our region-based detector is fully convolutional with almost all computation shared…
• Microsoft COCO: Common Objects in Context
  1 May 2014 38 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding.
• End-to-End Object Detection with Transformers
  26 May 2020 37 repositories listed Syntology ran 59 of 92 samples · 33 unverified · 19 pointer-only (licence)
  We present a new method that views object detection as a direct set prediction problem.
• Striving for Simplicity: The All Convolutional Net
  21 Dec 2014 37 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Most modern convolutional neural networks (CNNs) used for object recognition are built using the same principles: Alternating convolution and max-pooling layers followed by a small number of fully connected layers.
• Spatial Memory for Context Reasoning in Object Detection
  13 Apr 2017 35 repositories listed
  On the other hand, modeling object-object relationships requires {\bf spatial} reasoning -- not only do we need a memory to store the spatial layout, but also a effective reasoning module to extract spatial patterns.
• FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
  4 Apr 2020 33 repositories listed Syntology ran 8 of 53 samples · 45 unverified
  Formulating MOT as multi-task learning of object detection and re-ID in a single network is appealing since it allows joint optimization of the two tasks and enjoys high computation efficiency.
• Fast R-CNN
  30 Apr 2015 30 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 1 pointer-only (licence)
  Fast R-CNN builds on previous work to efficiently classify object proposals using deep convolutional networks.
• Deformable ConvNets v2: More Deformable, Better Results
  27 Nov 2018 26 repositories listed Syntology ran 2 of 13 samples · 11 unverified · 2 pointer-only (licence)
  The superior performance of Deformable Convolutional Networks arises from its ability to adapt to the geometric variations of objects.
• Point Transformer
  16 Dec 2020 24 repositories listed
  For example, on the challenging S3DIS dataset for large-scale semantic scene segmentation, the Point Transformer attains an mIoU of 70.
• Group Normalization
  22 Mar 2018 22 repositories listed Syntology ran 5 of 15 samples · 10 unverified · 4 pointer-only (licence)
  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
• YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
  6 Jul 2022 21 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.
• High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
  30 Nov 2017 21 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 3 pointer-only (licence)
  We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).
• CenterNet: Keypoint Triplets for Object Detection
  17 Apr 2019 20 repositories listed Syntology ran 2 of 11 samples · 9 unverified · 2 pointer-only (licence)
  In object detection, keypoint-based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regions.
• PointPillars: Fast Encoders for Object Detection from Point Clouds
  14 Dec 2018 18 repositories listed Syntology ran 2 of 15 samples · 13 unverified · 1 pointer-only (licence)
  These benchmarks suggest that PointPillars is an appropriate encoding for object detection in point clouds.
• Single-Shot Refinement Neural Network for Object Detection
  18 Nov 2017 16 repositories listed
  For object detection, the two-stage approach (e.
• Texture Synthesis Using Convolutional Neural Networks
  27 May 2015 16 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Here we introduce a new model of natural textures based on the feature spaces of convolutional neural networks optimised for object recognition.
• RTMDet: An Empirical Study of Designing Real-Time Object Detectors
  14 Dec 2022 14 repositories listed Syntology ran 3 of 20 samples · 17 unverified
  In this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segmentation and rotated object detection.
• Is Heuristic Sampling Necessary in Training Deep Object Detectors?
  11 Sep 2019 14 repositories listed
  In this paper, we challenge the necessity of such hard/soft sampling methods for training accurate deep object detectors.

Syntology lines on 26 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.