Essays about: "Scene graph"
Showing result 1 - 5 of 18 essays containing the words Scene graph.
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1. Applicability of Detection Transformers in Resource-Constrained Environments : Investigating Detection Transformer Performance Under Computational Limitations and Scarcity of Annotated Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Object detection is a fundamental task in computer vision, with significant applications in various domains. However, the reliance on large-scale annotated data and computational resource demands poses challenges in practical implementation. READ MORE
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2. Performance comparison between Clustered and Cascaded Clustered Shading
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. The game-industry is rapidly demanding more and more comput-ing power in its strive for more realistic renditions of environments, simulations andgraphics. To accelerate the improvements made to the realism of real time graph-ics further, optimizations like Clustered and Cascaded Clustered Shading come intoplay. READ MORE
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3. Efficient High-level Synthesis Implementation of massive MIMO Processing on RFSoC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Massive multiple-input multiple-output (MIMO) refers to a wireless access technology that equips base station (BS) with hundreds to thousands of antennas to serve tens of user equipment (UE) in the same time-frequency resource. These extensive antennas improve spectral and energy efficiency, but the detection algorithms tend to be more complex with operations, multiplications, and inversions on larger size matrix. READ MORE
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4. Causal discovery in conditional stationary time-series data : Towards causal discovery in videos
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Performing causal reasoning in a scene is an inherent mechanism in human cognition; however, the majority of approaches in the causality literature aiming for this task still consider constrained scenarios, such as simple physical systems or stationary time-series data. In this work we aim for causal discovery in videos concerning realistic scenarios. READ MORE
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5. Manipulation Action Recognition and Reconstruction using a Deep Scene Graph Network
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Convolutional neural networks have been successfully used in action recognition but are usually restricted to operate on Euclidean data, such as images. In recent years there has been an increase in research devoted towards finding a generalized model operating on non-Euclidean data (e. READ MORE
