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Explore the skillFast SCNN Pytorch
Tramac
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
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Explore the skillTramac
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
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Explore the skillPRBonn
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.
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Explore the skillAlpaca-zip
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
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Explore the skillDerrickXuNu
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
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Explore the skilljuhongm999
Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, ICCV 2021
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Explore the skillnubot-nudt
[T-ASE 25] SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
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Explore the skilljacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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Explore the skillstanfordnlp
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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Explore the skilltyiannak
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
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Explore the skillfundamentalvision
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segme…
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Explore the skillK-Dense-AI
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and simi…
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Explore the skilljsbroks
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
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Explore the skillnexscope-ai
E-commerce email marketing system builder. Creates complete email automation flows with full copywriting, subject lines, ESP setup instructions, segmentation rules, and…
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Explore the skillindranilbanerjee
Audience research module — builds six-dimension buyer personas (demographic, psychographic, behavioral, need-state, information, decision), Jobs-to-Be-Done maps, RFM/beh…
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Explore the skillindranilbanerjee
Build a named, narrative buyer persona document — demographic snapshot, psychographic drivers, jobs-to-be-done, day-in-the-life scenario, buyer journey map, objections w…
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Explore the skillKoldim2001
Python library for YOLO small object detection and instance segmentation